Results 61 to 70 of about 461,354 (348)

Using R and Bioconductor for proteomics data analysis [PDF]

open access: yesBiochim Biophys Acta. 1844 (2014) 1844 42-51, 2013
This review presents how R, the popular statistical environment and programming language, can be used in the frame of proteomics data analysis. A short introduction to R is given, with special emphasis on some of the features that make R and its add-on packages a premium software for sound and reproducible data analysis.
arxiv   +1 more source

Protein processing characterized by a gel-free proteomics approach [PDF]

open access: yes, 2008
We describe a method for the specific isolation of representative N-terminal peptides of proteins and their proteolytic fragments. Their isolation is based on a gel-free, peptidecentric proteomics approach using the principle of diagonal chromatography ...
A. Staes   +17 more
core   +1 more source

iProX: an integrated proteome resource

open access: yesNucleic Acids Res., 2018
Sharing of research data in public repositories has become best practice in academia. With the accumulation of massive data, network bandwidth and storage requirements are rapidly increasing.
Jie Ma   +11 more
semanticscholar   +1 more source

Whole-proteome tree of life suggests a deep burst of organism diversity. [PDF]

open access: yes, 2020
An organism tree of life (organism ToL) is a conceptual and metaphorical tree to capture a simplified narrative of the evolutionary course and kinship among the extant organisms.
Choi, JaeJin, Kim, Sung-Hou
core  

GIT2 deficiency attenuates concanavalin A‐induced hepatitis in mice

open access: yesFEBS Open Bio, 2015
G protein‐coupled receptor kinase interactor 2 (GIT2) is a signaling scaffold protein involved in regulation of cytoskeletal dynamics and the internalization of G protein‐coupled receptors (GPCRs). The short‐splice form of GIT2 is expressed in peripheral
Yu-E Hao   +10 more
doaj   +1 more source

The protein-protein interaction ontology: for better representing and capturing the biological context of protein interaction

open access: yesBMC Genomics, 2021
Background With the rapid increase in the amount of Protein-Protein Interaction (PPI) data, the establishment of an event-centered PPI ontology that contains temporal and spatial vocabularies is urgently needed to clarify PPI biological annotations.
Mansheng Li   +6 more
doaj   +1 more source

Comprehensive Overview of Bottom-up Proteomics using Mass Spectrometry [PDF]

open access: yesarXiv, 2023
Proteomics is the large scale study of protein structure and function from biological systems through protein identification and quantification. "Shotgun proteomics" or "bottom-up proteomics" is the prevailing strategy, in which proteins are hydrolyzed into peptides that are analyzed by mass spectrometry.
arxiv  

The proteomic to biology inference, a frequently overlooked concern in the interpretation of proteomic data: A plea for functional validation [PDF]

open access: yesPROTEOMICS 14, 2-3 (2014) 157-61, 2014
Proteomics will celebrate its 20th year in 2014. In this relatively short period of time, it has invaded most areas of biology and its use will probably continue to spread in the future. These two decades have seen a considerable increase in the speed and sensitivity of protein identification and characterization, even from complex samples.
arxiv   +1 more source

Single-Shot 10K Proteome Approach: Over 10,000 Protein Identifications by Data-Independent Acquisition-Based Single-Shot Proteomics with Ion Mobility Spectrometry

open access: yesJournal of Proteome Research, 2022
The evolution of mass spectrometry (MS) and analytical techniques has led to the demand for proteome analysis with high proteome coverage in single-shot measurements.
Yusuke Kawashima   +8 more
semanticscholar   +1 more source

Inhibition of acyl‐CoA synthetase long‐chain isozymes decreases multiple myeloma cell proliferation and causes mitochondrial dysfunction

open access: yesMolecular Oncology, EarlyView.
Triacsin C inhibition of the acyl‐CoA synthetase long chain (ACSL) family decreases multiple myeloma cell survival, proliferation, mitochondrial respiration, and membrane potential. Made with Biorender.com. Multiple myeloma (MM) is an incurable cancer of plasma cells with a 5‐year survival rate of 59%.
Connor S. Murphy   +12 more
wiley   +1 more source

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